diff --git a/python/image_generation.py b/python/image_generation.py
new file mode 100644
index 0000000..2a99c4f
--- /dev/null
+++ b/python/image_generation.py
@@ -0,0 +1,163 @@
+# -*- coding: utf-8 -*-
+# Copyright 2025 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import pathlib
+import os
+from absl.testing import absltest
+
+media = pathlib.Path(__file__).parents[1] / "third_party"
+output_dir = pathlib.Path(__file__).parent / "generated_images"
+if not output_dir.exists():
+    output_dir.mkdir(parents=True)
+
+
+class UnitTests(absltest.TestCase):
+
+    def test_image_generation_basic(self):
+        # [START image_generation_basic]
+        from google import genai
+        from google.genai import types
+        from PIL import Image
+        from io import BytesIO
+
+        client = genai.Client()
+
+        contents = (
+            "Create a 3D rendered image of a penguin wearing a top hat "
+            "and monocle, standing in front of a futuristic cityscape."
+        )
+
+        response = client.models.generate_content(
+            model="gemini-2.0-flash-exp-image-generation",
+            contents=contents,
+            config=types.GenerateContentConfig(response_modalities=["Text", "Image"]),
+        )
+
+        # Process the response
+        for part in response.candidates[0].content.parts:
+            if part.text is not None:
+                print(part.text)
+            elif part.inline_data is not None:
+                image = Image.open(BytesIO(part.inline_data.data))
+                image.save("generated-penguin.png")
+                print("Image saved as 'generated-penguin.png'")
+        # [END image_generation_basic]
+
+    def test_image_generation_with_parameters(self):
+        # [START image_generation_with_parameters]
+        from google import genai
+        from google.genai import types
+        from PIL import Image
+        from io import BytesIO
+
+        client = genai.Client()
+
+        contents = (
+            "Create a watercolor painting of a mountain landscape "
+            "with a flowing river, tall pine trees, and a cabin."
+        )
+
+        response = client.models.generate_content(
+            model="gemini-2.0-flash-exp-image-generation",
+            contents=contents,
+            config=types.GenerateContentConfig(
+                response_modalities=["Text", "Image"],
+                temperature=0.9,
+                top_p=0.8,
+            ),
+        )
+
+        # Process the response
+        for part in response.candidates[0].content.parts:
+            if part.text is not None:
+                print(part.text)
+            elif part.inline_data is not None:
+                image = Image.open(BytesIO(part.inline_data.data))
+                image.save("generated-landscape.png")
+                print("Image saved as 'generated-landscape.png'")
+        # [END image_generation_with_parameters]
+
+    def test_image_generation_with_style_directions(self):
+        # [START image_generation_with_style_directions]
+        from google import genai
+        from google.genai import types
+        from PIL import Image
+        from io import BytesIO
+
+        client = genai.Client()
+
+        contents = (
+            "Create a digital art image in the style of cyberpunk anime "
+            "showing a futuristic city at night with neon lights and flying vehicles."
+        )
+
+        response = client.models.generate_content(
+            model="gemini-2.0-flash-exp-image-generation",
+            contents=contents,
+            config=types.GenerateContentConfig(response_modalities=["Text", "Image"]),
+        )
+
+        # Process the response
+        for part in response.candidates[0].content.parts:
+            if part.text is not None:
+                print(part.text)
+            elif part.inline_data is not None:
+                image = Image.open(BytesIO(part.inline_data.data))
+                image.save("generated-cyberpunk.png")
+                print("Image saved as 'generated-cyberpunk.png'")
+        # [END image_generation_with_style_directions]
+
+    def test_image_generation_with_save_to_path(self):
+        # [START image_generation_with_save_to_path]
+        from google import genai
+        from google.genai import types
+        from PIL import Image
+        from io import BytesIO
+        import os
+        import pathlib
+
+        client = genai.Client()
+
+        contents = (
+            "Create a photorealistic image of a hummingbird "
+            "hovering next to a bright red flower."
+        )
+
+        response = client.models.generate_content(
+            model="gemini-2.0-flash-exp-image-generation",
+            contents=contents,
+            config=types.GenerateContentConfig(response_modalities=["Text", "Image"]),
+        )
+
+        # Process the response
+        for part in response.candidates[0].content.parts:
+            if part.text is not None:
+                print(part.text)
+            elif part.inline_data is not None:
+                # Create output directory if it doesn't exist
+                output_dir = pathlib.Path(__file__).parent / "generated_images"
+                if not output_dir.exists():
+                    output_dir.mkdir(parents=True)
+
+                # Save the image to the specified path
+                output_path = output_dir / "hummingbird.png"
+                image = Image.open(BytesIO(part.inline_data.data))
+                image.save(output_path)
+                print(f"Image saved to {output_path}")
+        # [END image_generation_with_save_to_path]
+
+
+if __name__ == "__main__":
+    absltest.main()